Round 140

Round UUID: 5ff8f46e-ad2b-4eec-8af4-a2b49bd50122

Prompt:

You are evaluating temporal anomaly cases for approval or denial based on TimelineDeviation and ParadoxCount metrics.

Apply these rules in order:

1. If ParadoxCount > 7.5, predict APPROVED
2. If ParadoxCount < 2.5, predict DENIED  
3. If ParadoxCount >= 5.8 AND ParadoxCount <= 6.2, predict DENIED
4. If TimelineDeviation < 8.0, predict DENIED
5. If TimelineDeviation > 12.0 AND ParadoxCount >= 4.5, predict APPROVED
6. If TimelineDeviation >= 8.0 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 5.5, predict APPROVED
   - If ParadoxCount < 5.5, predict DENIED
7. For all other cases, predict APPROVED

Apply the first rule that matches the entity's data.

• Inferences: 200
• Created: 2025-06-25 02:16:09.899608+00:00
• First inference: 2025-06-25 02:16:24.711531+00:00
• Last inference: 2025-06-25 02:30:42.847964+00:00
• Completed: yes
• Train accuracy: 0.7125 (KT 0.148)
• Validation accuracy: 0.85 (KT 0.071)
• Test accuracy: 0.65 (KT 0.188)